Publications

[* denotes equal contribution]

Under Review

  1. Sketch-Based Streaming Anomaly Detection in Dynamic Graphs Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi [Paper] [Code]
  2. MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi [Paper] [Code]
  3. Real-Time Anomaly Detection in Edge Streams Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos [Paper] [Code]
  4. Semi-Supervision via Sketches Siddharth Bhatia, Sudipto Guha
  5. Isconna: Streaming Anomaly Detection with Frequency and Patterns Rui Liu, Siddharth Bhatia, Bryan Hooi [Paper] [Code]
  6. Don’t Just Divide, Polarize and Conquer! Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Jun Heng Lim, Kenji Kawaguchi, Vaibhav Rajan [Paper] [Code]
  7. Adaptive Data Augmentation on Temporal Graphs Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
  8. AAAN: Anomaly Alignment in Attributed Networks Ying Sun, Wenjun Wang, Nannan Wu, Siddharth Bhatia, Yang Yu, Wei Yu
  9. FADMAN: Federated Anomaly Detection across Multiple Attributed Networks Jie Zhang, Nannan Wu, Wenjun Wang, Ying Sun, Siddharth Bhatia
  10. MonLAD: Money Laundering Agents Detectionin Transaction Streams Xiaobing Sun, Wenjie Feng, Shenghua Liu, Siddharth Bhatia, Bryan Hooi, Xueqi Cheng
  11. SSMF: Shifting Seasonal Matrix Factorization Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi

2021

  1. MStream: Fast Anomaly Detection in Multi-Aspect Streams [Best Paper Candidate] Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi The Web Conference (WWW), 2021 [Paper] [Slides] [Code] [Video]
  2. ExGAN: Adversarial Generation of Extreme Samples Siddharth Bhatia*, Arjit Jain*, Bryan Hooi AAAI Conference on Artificial Intelligence (AAAI), 2021 [Paper] [Poster] [Slides] [Code] [Video]
  3. AugSplicing: Synchronized Behavior Detection in Streaming Tensors Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng AAAI Conference on Artificial Intelligence (AAAI), 2021 [Paper] [Poster] [Code]
  4. GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021

2020

  1. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams [500+ stars on Github] Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos AAAI Conference on Artificial Intelligence (AAAI), 2020 [Paper] [Slides] [Code] [Video] [Overview Video]
  2. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos KDD Workshop on Mining and Learning with Graphs (MLG), 2020 [Paper]

2018

  1. Approximate Triangle Count and Clustering Coefficient (Poster) Siddharth Bhatia International Conference on Management of Data (SIGMOD), 2018 [Poster]
  2. Bend-optimal orthogonal drawings of triconnected plane graphs Siddharth Bhatia, Kunal Lad, Rajiv Kumar AKCE International Journal of Graphs and Combinatorics, 2018 [Paper]

2017

  1. MPLS based hybridization in SDN Yash Sinha, Siddharth Bhatia, Virendra S Shekhawat, GSS Chalapathi International Conference on Software Defined Systems (SDS), 2017 [Paper]
  2. Lung cancer detection: A deep learning approach Siddharth Bhatia, Yash Sinha, Lavika Goel Soft Computing for Problem Solving, 2017 [Paper]
  3. MPI aware routing using SDN (Poster) Siddharth Bhatia, Yash Sinha, G Chalapathi, Rajiv Kumar International Symposium on High Performance Distributed Computing (HPDC), 2017 [Poster]
  4. Control-data plane intelligence trade-off in SDN (Poster) Yash Sinha, Siddharth Bhatia IEEE Symposium on Security and Privacy (S & P), 2017 [Poster]
  5. SmallTable (Poster) Siddharth Bhatia International Symposium on High Performance Distributed Computing (HPDC), 2017 [Poster]

2016

  1. Parallelization of Error Weighted Hashing for Approximate k-Nearest neighbour search on GPU-CPU hybrid Siddharth Bhatia, Mohan Pavan Kumar Badarla IEEE International Conference on High Performance and Smart Computing, 2016 [Paper] [Code]

2014

  1. Fuzzy analysis of machine repair problem with switching failure and reboot Chandra Shekhar, Madhu Jain, Siddharth Bhatia Journal of Reliability and Statistical Studies, 2014 [Paper]